Deep Agent is a standalone research tool — separate from Chat Studio and AI Lab. Connect your own data sources directly. Build RAG pipelines. Conduct deep investigations.
Purpose-built for research: Document analysis, knowledge synthesis, competitive intelligence, literature review, due diligence. When you need to go deep, not just query.
Training Knowledge Base
Teaching Calliope about your data
Use Cases
Multi-Source Connectivity
Iterative Analysis
Visualization Generation
What is Deep Agent?
Simple Questions vs. Deep Questions
Most data tools are built for simple questions:
- “How many users signed up last month?”
- “What’s our revenue by region?”
- “Show me the top 10 products by sales.”
These questions have direct answers. One query, one result.
But the questions that actually drive business decisions are complex:
- “Why did engagement drop in Q3, and what should we do about it?”
- “Which customer segments are at risk of churning, and what are the leading indicators?”
- “How does our product usage compare to support ticket volume, and what does that tell us about feature quality?”
These questions require investigation. Multiple queries. Cross-referencing data sources. Testing hypotheses. Synthesizing findings.
Deep Agent automates this investigation process.
How Deep Agent Works
When you give Deep Agent a complex question, it:
- Plans the investigation — Breaks the question into component queries and identifies relevant data sources
- Executes queries — Runs SQL, API calls, and searches across your connected data sources
- Analyzes results — Looks for patterns, correlations, anomalies, and trends
- Iterates — Asks follow-up questions based on initial findings
- Synthesizes — Combines findings into a coherent analysis with supporting evidence
- Presents — Generates visualizations and narrative explanations
Throughout this process, Deep Agent shows its work. Every query, every intermediate result, every reasoning step is logged and auditable.
Enterprise-Grade Security
Deep Agent operates within your security perimeter:
- Permission-aware — Only accesses data the user is authorized to see
- Audit logging — Every query and result is logged for compliance
- Policy enforcement — Zentinelle policies govern what Deep Agent can access and do
- Data residency — Runs in your cloud or on-premise; data never leaves your control
Deep Agent vs. Generic AI
Generic AI chatbots can answer questions about data — if you paste the data into the chat. Deep Agent connects directly to your data sources, respects your permissions, and operates within your security model.
The difference: Generic AI is a smart colleague you have to manually brief. Deep Agent is a smart colleague with secure access to your systems.
Deep Agent gives your team the analytical horsepower to tackle questions that matter — with the governance to do it safely.